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Storage Server And Engineering Jobs

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Explore current storage server and engineering jobs. Use filters to narrow by work mode, employment type, experience and date posted.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Unified Data Store (UDS) team is the architect of Airbnb’s global system-of-record. We design, build, and operate the mission-critical storage platform that powers every user profile, listing, reservation, and financial transaction on the platform. Supporting over 150 million users worldwide, our work is the bedrock of Airbnb’s reliability and efficiency. As a Staff Engineer in our Brazil Engineering Hub , you will join a high-impact group of technical leaders who value craft and operational excellence. You won't just be managing data; you will be building a modern distributed infrastructure service that enables hundreds of product teams to ship features with total confidence. The Difference You Will Make: We are looking for a hands-on technical leader who thrives on solving deep architectural challenges and leading through ambiguity. As a Staff Engineer, you will serve as the Technical North Star for the UDS Client Stack, ensuring our data access layer is seamless, high-performance, and future-proof. A Typical Day: Define Technical Strategy: Lead the multi-year roadmap and long-term architecture for the UDS client stack, balancing immediate execution with systemic platform evolution. Architect for Scale: Design and operate a high-performance data access layer that abstracts complexities like indexing, replication, and global consistency models. Drive Engineering Excellence: Lead deep-dive design reviews and establish best practices for building fault-tolerant distributed systems across the organization. Empower Developers: Act as a bridge between infrastructure and

airecruitment
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Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer, Event Streaming Systems Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Senior Software Engineer to join our team. This is a hybrid role. In this role, you’ll help us build and operate the event streaming infrastructure that powers business-critical workflows across Deliveroo, DoorDash and Wolt. Get to know our Engineering team, what drives us, how we work, and what you can expect. What You’ll Be Doing You’ll be joining the Event Streaming Systems team within the broader Storage organisation. The team builds and operates highly reliable, scalable and efficient event streaming infrastructure, including Kafka, Event Streaming abstractions(internally called EventBus) and future streaming platform technologies. These systems support Tier-0 workflows and are foundational to how engineering teams build reliable, event-driven products at scale. Here’s what your day-to-day might look like: Design, build and operate large-scale event streaming infrastructure that supports critical production workloads. Improve the reliability, scalability, observability and automation of Kafka, EventBus and related streaming platforms. Debug complex distributed systems issues, including performance bottlenecks, capacity constrai

pythonjavalinux
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D
Databricks
📍 Mclean• $130.2K – $179K/yr
1mo ago

P-298 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role s enterprise data enclaves and Generative AI applications become mission-critical to national security and public sector modernization, maintaining the reliability and operational integrity of the underlying platform is paramount . Databricks is seeking a Senior Support Engineer (GovOps) to join our Cleared Engineering team in McLean, VA . Sitting at the vital intersection of core infrastructure operations and active platform reliability, this team serves as the ultimate technical authority for our platform across GovCloud, FedRAMP High, and air-gapped environments . In this role, you will move beyond basic ticket resolution to handle the hardest technical escalations across our platform domains—including Compute, Networking, Storage, IAM, and OS internals . You will partner directly with Core Engineering, conduct deep live troubleshooting, safely execute automation tools, and isolate complex system boundary blocks inside secure enclaves . If you are a systems specialist who thrives under pressure, enjoys writing custom tooling to unblock platform bottlenecks, and wants to safeguard the infrastructure powering next-generation federal AI workloads, this opportunity provides unmatched scope and impact . The Impact You’ll Have The Impact You’ll HaveDrive High-Side Platform Reliability: Serve as the techn

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Postman
📍 Bengaluru• Full-time
6mo ago

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity Search Team at Postman is responsible for enabling users to quickly find and get started with the APIs that they are looking for. Postman is growing at a rapid pace, and this manifests into an ever-increasing volume of data that users create and consume, within their teams and in the Public API Network. We focus on improving discovery and ease of consumption over this data. We are looking for a Senior Engineer with 6+ years of experience deep backend expertise on search and ETL systems and a strong product mindset, to lead core initiatives on our search platform. In this role, you'll work at the intersection of infrastructure, relevance, and developer experience—designing systems that power search across the platform. You’ll bring a bias for action, a strong backend foundation, and the curiosity to explore beyond traditional boundaries, including areas like high performance web services, high volume data pipelines, machine learning, and relevance tuning. What You'll Do Own end to end architecture and roadmap of search platform consisting of distributed indexing pipelines, storage infra and high performance web serve

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C
Cohere
📍 San Francisco• Full-time
1mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? The Data Infrastructure team at Cohere is responsible for the storage and data movement layer underlying every model training run. We're building the unified storage layer that feeds our training workloads. It needs to serve petabytes of training data and model checkpoints fast enough to keep thousands of GPUs busy across several training clusters. In this role, you’d have an opportunity to build this system from the ground up. You’d be a key contributor, working on a problem few teams have had to solve at this scale. In this role, you will: Design, build, and operate the distributed storage system that feeds model training and evaluation. Run this system multiple on Kubernetes clusters at petabyte scale. Work with researchers and training-infra teams on how jobs actually read and write data, and turn that into throughput, latency, and durability requirements Work through the networking, I/O, and consistency problems of moving large datasets and checkpoints across regions and backends, with GPU idle time and time-to-insight as the measures of success You may be a good fit if you have: Strong storage fundamentals,

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For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Job Title: Distinguished Engineer - Data Architect Role Overview: We are looking for a Distinguished Engineer- Data Architect to design and build the data foundation for our AI-driven security platform. In this role, you will own the architectural blueprint and core implementation of our data strategy, transforming massive streams of high-velocity network traffic logs, customer configurations, and security alerts into high-performance, ML-ready data fabrics. As part of a lean, elite three-person Data & AI team, you will serve as the ultimate technical authority on data scale, streaming architecture, multi-tenant security, and cost-efficient storage systems. Key Responsibilities: Architect the Core Data Platform: Design, implement, and evolve a unified blueprint for streaming and batch data processing capable of ingesting, normalizing, and storing petabyte-scale, high-velocity security telemetry. Enable AI & Advanced Analytics: Partner directly with the Lead AI Engineer to architect the underlying storage, retrieval systems, and feature stores—including optimal vector database structures and data lakehouse layers—required for low-latency AI inference and training. Enforce Zero-Trust Data Governance: Architect s

awsazuregcp
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About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Lead/Manager, you will play a key role in building the Together cloud platform engineering team in the Netherlands. We are a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Some of what you’ll work on: Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters. Build out a global management plane for managing our data center compute, networking, and storage. Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features. Hybrid working 2 days a week at our offices in Amsterdam Responsibilities Lead/Manage a team of 8 together cloud Infrastructure Engineer in Amsterdam, Identify, design, and develop foundational backend services that power Together’s commerce platform Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure Partner with product teams to understand functional requirements and deliver solutions that meet business needs Write clear, well-tested, and maintainable software and IaC for both new and existing systems Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Participate in an on-call rotation to address critical incidents when necessary Requirements Ideally 1-2 years of leading the Infrastructure team. Demonstrable backgro

postgresqlawsazure
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C
Cohere
📍 New York• Full-time• Remote• $160K – $325K/yr
5mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? The Data Infrastructure team at Cohere is responsible for the storage and data movement layer underlying every model training run. We're building the unified storage layer that feeds our training workloads. It needs to serve petabytes of training data and model checkpoints fast enough to keep thousands of GPUs busy across several training clusters. In this role, you’d have an opportunity to build this system from the ground up. You’d be a key contributor, working on a problem few teams have had to solve at this scale. In this role, you will: Design, build, and operate the distributed storage system that feeds model training and evaluation. Run this system multiple on Kubernetes clusters at petabyte scale. Work with researchers and training-infra teams on how jobs actually read and write data, and turn that into throughput, latency, and durability requirements Work through the networking, I/O, and consistency problems of moving large datasets and checkpoints across regions and backends, with GPU idle time and time-to-insight as the measures of success You may be a good fit if you have: Strong storage fundamentals,

REMOTEpythonkubernetesai
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TA
16mo ago

About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal StaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Some of what you’ll work on: Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters. Build out a global management plane for managing our data center compute, networking, and storage. Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features. Responsibilities Identify, design, and develop foundational backend services that power Together’s cloud platform Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure Partner with product teams to understand functional requirements and deliver solutions that meet business needs Write clear, well-tested, and maintainable software and IaC for both new and existing systems Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Participate in an on-call rotation to address critical incidents when necessary Requirements 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources Excel

postgresqlawsazure
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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are seeking an experienced EHS Safety Engineer to provide enterprise-level leadership for global safety operations, performance management, governance, and strategic program execution. This role is responsible for defining and driving the Global Health & Safety roadmap, performance framework, digital enablement strategy, and governance systems that support continuous improvement and proactive risk reduction across the organization. The person will serve as a trusted advisor and authority in safety performance management while acting as the primary interface between the Health & Safety organization and the Global EHS Program Management Office. Responsibilities Own and manage the Global Health & Safety multi-year portfolio and roadmap, including initiative prioritization, resource planning, risk management, governance, benefits tracking, and executive reporting. Lead the enterprise Health & Safety performance management framework, including critical metric selection, governance, target setting, reporting standards, and performance evaluation. Establish and maintain global governance processes for leading and lagging safety indicators, ensuring consistency in definitions, calculations, data quality and reporting requirements. Partner with program owners, engineering teams, EHS professionals, IT, and business leaders to translate strategy into scalable programs, sustainable controls, and measurable outcomes. Analyze safety, incident, audit, workforce, and operational d

sqlaiPower BI
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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Role Summary and Key Responsibilities The GQ QMO Enterprise Process Analyst plays a critical role in driving operational excellence, process governance, and continuous improvement across Micron's enterprise quality management system. This position combines system-level process stewardship, change governance leadership, and New Product Introduction (NPI) process optimization to ensure business processes remain effective, compliant, scalable, and aligned with Micron's strategic objectives. This role is designed for an experienced professional who excels at the intersection of business process management, systems governance, operational analytics, and cross-functional collaboration . The successful candidate will work with stakeholders across Engineering, Manufacturing, IT, Quality, Supply Chain, and Business Units to improve enterprise processes, govern critical systems, and drive measurable performance improvements. NPI System Level Process Steward (SLPS) As the System Level Process Steward for the Introduce New Product (NPI) process, you will serve as the primary execution expert and advocate for the process, partnering closely with the System Level Process Owner (SLPO) and business process analysts. This role is responsible for ensuring the NPI process remains effective, compliant, and continuously improving while supporting business objectives across global manufacturing operations. Key responsibilities include: Execute business process and improveme

artificial intelligenceaisupply chain
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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Vice President, Boise Front End Manufacturing Operations Location: Boise, Idaho Reports To: Corporate Vice President, Global Front End Operations Position Summary Reporting to the Corporate Vice President of Global Front End Operations, the Vice President, Boise Front End Manufacturing Operations is responsible for the overall leadership, performance, and strategic direction of Micron's Boise front-end manufacturing operations. This leader owns the safe, efficient, and predictable execution of all manufacturing activities while ensuring alignment with company objectives, technology roadmaps, customer requirements, and long-term capacity strategies. The Vice President serves as the senior operational leader for Boise manufacturing and is accountable for operational excellence across safety, quality, yield, cycle time, cost, delivery, workforce capability, and capacity utilization. As a member of the Global Front End Operations Leadership Team, the VP partners closely with Technology Development, Engineering, Business Units, Supply Chain, Procurement, Facilities, Quality, Finance, Human Resources, and peer manufacturing sites to drive world-class manufacturing performance and enterprise-wide outcomes. This leader will play a critical role in shaping the future of advanced semiconductor manufacturing through the deployment of next-generation technologies, automation, digital manufacturing capabilities, AI-enabled operations, and large-scale capacity expansions. Key Responsibil

machine learningartificial intelligenceai
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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Summary Department Introduction The Operations Central Team drives manufacturing execution, capacity planning, and capital optimization across Micron’s global manufacturing network! The team partners closely with Supply Chain, Finance, Engineering, Procurement, Production, and Planning organizations to improve operational efficiency, enable cost savings, and support strategic business objectives through data-driven decision making. Position Overview As a Global Planning Modeling Engineer, you will serve as a key contact for the manufacturing network, evaluating and presenting the capital impacts of process and technology changes to Manufacturing and R&D leaders! This role is responsible for capacity modeling, capital planning, financial analysis, and process optimization. Responsibilities Optimize installed equipment capacity and lead site-level and tool-level studies to improve throughput and manufacturing efficiency. Manage, audit, and validate Probe capacity models and systems to determine network capital requirements. Perform financial analyses for capital equipment investments, including metrics optimization, process flexibility, capacit

pythonsqlai
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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary: The ID1 Facilities Electrical team supports the safe, reliable, and compliant operation of electrical power systems critical to semiconductor manufacturing. The organization is responsible for electrical infrastructure reliability, maintenance execution, operational readiness, documentation control, and continuous improvement activities that help enable safe and uninterrupted manufacturing operations. The Electrical Systems Program Coordinator supports the planning, coordination, and continuous improvement of maintenance, reliability, asset management, and compliance programs within the ID1 Electrical Systems organization. This role serves as a key interface between operations, engineering, reliability, planning, and support organizations to ensure maintenance programs, equipment records, audit requirements, training documentation, and operational processes remain accurate, effective, and aligned with business objectives. The Program Coordinator plays a critical role in driving operational readiness, managing program execution, and improving business processes that support manufacturing reliability and performance. Responsibilities Coordinate maintenance planning, asset management, and reliability programs supporting critical electrical infrastructure while ensuring high-volume manufacturing readiness through current maintenance programs, training records, and operational documentation. Create, maintain, and continuously improve SAP asset data, maintenance plans, equipment r

aiSAPPower BI
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M
1mo ago

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary Experienced individual contributor responsible for independently accomplishing customer-focused system validation for enterprise and data-center SSD products. Owns end-to-end validation for assigned platforms, contributes to validation planning and test development, applies advanced technical judgment, and provides technical guidance without formal management duties. Responsibilities: • Independently plan and complete customer-specific SSD/system validation cycles and qualification runs. • Set up, configure, and ensure the ongoing validation of environments including systems, firmware, OS, and platform settings. • Analyze validation results, identify failures, and determine next steps including debug and risk assessment. • Develop, extend, and maintain validation test cases, scripts, and automation. • Serve as technical owner for assigned projects, providing mentorship and sharing guidelines across teams. • Applying Artificial Intelligence to improve day-to-day working efficiency Minimum Qualifications: • Bachelor’s degree in Computer science, Electrical/Computer Engineering, or a related field with 6 years of experience in customer, system, or product validation roles. • Strong knowledge and experience with NVMe and PCIe protocols and debugging skills across system, firmware, and hardware domains. • Hands-on experience accomplishing system-level validation in complex hardware/software

pythonartificial intelligenceai
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